Mac Studio
Geekbench AI Score
10847
Single Precision Score
12007
Half Precision Score
11283
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | petebu |
| Upload Date | May 17 2025 01:37 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac Studio |
| Model ID | Mac13,1 |
| Motherboard | Mac13,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4426
823.2 IPS |
|
|
Image Classification (HP)
|
100% |
4426
823.2 IPS |
|
|
Image Classification (Q)
|
96% |
4135
772.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
10073
163.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9870
160.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9466
153.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
47368
55.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
50943
59.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
48886
57.3 IPS |
|
|
Object Detection (SP)
|
100% |
4643
368.3 IPS |
|
|
Object Detection (HP)
|
100% |
4917
390.0 IPS |
|
|
Object Detection (Q)
|
92% |
4544
362.7 IPS |
|
|
Face Detection (SP)
|
100% |
18556
220.5 IPS |
|
|
Face Detection (HP)
|
100% |
18904
224.6 IPS |
|
|
Face Detection (Q)
|
100% |
16108
191.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
23518
181.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
24716
190.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
22732
177.6 IPS |
|
|
Style Transfer (SP)
|
100% |
79923
102.7 IPS |
|
|
Style Transfer (HP)
|
100% |
96711
124.3 IPS |
|
|
Style Transfer (Q)
|
96% |
94402
121.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15836
584.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16264
600.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14483
534.8 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4023
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4046
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1824
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1926
33.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1899
32.8 IPS |
